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ElectroWhat: a decision helping tool to implement ...€¦ · Stefan Schneider,...
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Université de Genève Stefan Schneider, [email protected]
ElectroWhat: a decision helping tool to implement electricity efficiency programs
Services industriels de Genève Pascale Le Strat, [email protected]
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
General frame of ElectroWhat project
Added value to deploy an efficiency program
Presentation of the tool
Example of impact evaluation of an efficiency measure
Conclusions
Content
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Part 1: General frame of ElectroWhat project
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
P. Le Strat
• 2002-2008: Model for breaking down electricity consumption of a territory (Genève, EOSh) and estimation of savings potential
• Design of éco21 program and contribution to its implementation
S. Schneider
2015-2016: Start of task «GIS Energy demand» of the SCCER FEEB&D project
• GIS Swiss heat demand model
• Preparation of phase II du FEEB&D 2017-2020
General frame of ElectroWhat project
• Extend model to whole Swiss territory
• Share experience gained through an efficiency program
Synergy between academics and industry to:
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Part 2: Added value to deploy an efficiency program
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Eco21: from a good planning to success
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1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
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Evolution de la consommation électrique Canton de Genève 1990-2015
Consommation électriquedu réseau genevois
Population résidente
Consommation électriquedu réseau genevois sanséco21
Consommation électriquepar habitant
Consommation électriquepar habitant sans éco21
Objectif 2020 de la Stratégie 2050 : -3% par rapport à 2000
Objectif 2035 de la Stratégie 2050 : -13% par rapport à 2000
kWh/hab 2000-2016 : -7.1 % kWh/hab. 2000-2016Objectif 2020 -3%Atteint: -7%
Electric consumption GE
Nb. Inhabitants
Electric consumption GE, without éco21
Electric consumption per capita
Electric consumption per capita, without éco21
1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
Objectif 2020: -3% par rap. à 2000
Objectif 2035: -13% par rap. à 2000
KW
h /
cap
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GW
h/
year
ElectroWhat : from the model to a design of a program
Decompose demand(activity, el. appliance)
Theoretical savings
Action plan no. 3Action plan no. 2
Action plan no. 1• GWh saved• CHF/kWh• Man/days• Visibility• Faisability• Economical impact
Criteria definitiontable
• Weighting of criterions
+
𝐴𝑐𝑡𝑖𝑜𝑛𝑠 1,2,…
Planning, ressources… Expected impact
• GWh saved ex-ante• GDB impact• Employement• …
Conception du programme
ElectroWhat
Présentation de l‘outil ElectroWhat, Journée de l’énergie 25 septembre2017
Action plans of the éco21 programau 31.01.2017
8/12
1030 projets PME/I
(85% éclairage)
1 chantier/ jour à Genève
Migros : Suppression des 5
halogènes les plus vendues en
faveur de Led.
+100% ventes en 2016
93 clients grands comptes
Négawatt
427 projets réalisés
Ambition Négawatt Optiwatt
Distributeurs efficaces
130 optimisations
d’installations thermiques dans
l’immobilier
Optimisation énergétique
14’000 ménages visités
1/3 des logements sociaux
6 communes
éco-social et écologement
3’350 communs d’immeubles
assainis
2 chantiers/jour à Genève
Immowatt
40 projets/an en entreprises
8 Contrats de performance
énergétique (CPE)
Maîtrise de l’énergie
Chaleur renouvelable
100 substitutions vers des
chauffages renouvelables
10% des rénovations,
1 villa/semaine
Co
mp
an
ies
Pri
va
tes
Real esta
te
Chaleur renouvelable
5 substitutions dans des
bâtiments vers des
chauffages renouvelables
Part 3: Presentation of the tool
Présentation de l‘outil ElectroWhat, Journée de l’énergie 25 septembre2017
Results of the model
For each Swiss municipality, the estimated electricity demand is broken down into:
60 activitiesCollecte et traitement des eaux uséesDépollution et autres services de gestion des déchetsImprimerie et reproduction d'enregistrements….
32 electric appliancesEau chaude sanitaire électriqueEau chaude sanitaire PACEclairageEclairage été/mi-saisonEclairage hiverLave-linge….
Possibility to calibrate with local consumption data to improve the model.
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
ServicesRésidentielIndustriePrimaire
Yearly consumption (MWh/cap.)
Décomposition par secteur d’activité
0 – 3
3 – 5
5 – 7
7 – 10
10 – 14
14 – 20
20 – 30
30 – 60
> 60
Maps of electric consumption
ServicesRésidentielIndustriePrimaire
Yearly consumption (MWh/cap.)
0 – 3
3 – 5
5 – 7
7 – 10
10 – 14
14 – 20
20 – 30
30 – 60
> 60
Maps of electric consumption
Electric load curves per electric device
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60
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(MW
)
Hour of the day
City of Bern: 04/02/2008 Households: Cold appl.
Cooking
Households: Other
Washing/Drying
Ventilation/AC
Office
Motor power
Lighting
Industry: IT
Industry: Cold appl.
Industry&Service: Other
Industrial processes
Households: IT/TV
Heating + DHW
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Prototype of a web platform
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
ber
1:00 6:00 12:000 18:00 24:00
01/01
1:00 6:00 12:000 18:00 24:00
1:00 6:00 12:000 18:00 24:00 1:00 6:00 12:000 18:00 24:00
04/04 05/04
Part 4: Example of impact evaluation of an efficiency measure
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Example: efficient lighting in private households.
• Hypothesis: 100% LED (the average power of a light bulb drops down from 40 (W) to 8 (W)
• No rebound effect
• We compare the effect on the load curve between two municipalities having very different socio-economic typology.
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Number of inhabitants: ~129’000Important share of activity in tertiary sector
Number of inhabitants : ~8’200Mainly residential
Typologie socio-économique des deux communes
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Impact on the load curve for the city of Bern
Before After
Impact of efficiency measure
MAX MW (Mai) Economies GWh / an
Référence 209.0
MDE 207.8 19.3
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Before After
Impact of efficiency measure
MAX MW (Mai) Economies GWh / an
Référence 1.87
MDE 1.78 1.1
Impact on the load curve for Bussigny
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Conclusions
The success of éco21 is based of
• An rigorous analysis of the electricity consumption allowing a ranking of actions based on objective.
• 50% of the budget in accompaniment actions and market transformation, 50% in financial encouragement.
• Evaluation of savings and continuous improvement.
Main goal of ElectroWhat : delivering all required information to act as decision helping tool for planning electric efficiency actions
Presentation of the ElectroWhat tool, UNECE meeting 1 November 2017
Thank you for your attention
Université de Genève Stefan Schneider, [email protected]
Services industriels de Genève Pascale Le Strat, [email protected]